Anticancer Drugs Induce Apoptosis in Mouse Hair Follicles.
Bibliographic record
Abstract
Apoptosis represents an important mode of cell death induced by chemotherapeutic drugs. It is plausible that apoptosis may also play an important role in alopecia caused by anticancer drugs. C57 BL/6 mice were induced to enter into anagen by hair shaft depilation and a single intraperitoneal injection of cyclophosphamide (150 mg/kg) was given. Skin specimens were taken from the backs of mice at day 9, 10, 11, 12 and 13 postdepilation (p.d.). Specimens were stained with TUNEL method, and DNA was isolated from the plucked hair follicles and was electrophoresed. Many TUNEL-positive cells were observed in hair bulbs in the cyclophosphamide group at days 10-13. At day 13 p.d., most follicles were damaged and extensive hair loss was observed. Fragmented DNA, but not so distinct, were observed in a DNA ladder pattern corresponding to the in situ results. This study suggests that anticancer drugs can induce apoptosis-related damage to the hair follicles in mice. Control mice when treated with saline also showed apoptosis when they spontaneously entered into catagen, but they never showed hair loss. Consequently, hair loss induced by anticancer drugs may result from a wave of induced apoptotic death.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".